Hype doesn’t deliver ROI. Solid architecture does. The AI hype cycle is eating budgets - most won’t see returns.

Everyone is buying models.
Few are asking if their architecture can support them.

Without:
• A clear data model
• Reliable lineage
• Integrated platforms

… AI spend just fuels demos that never scale.

The problem isn’t ambition.
Its foundations.
AI multiplies what’s underneath it, and in most orgs, that means debt.

Executives who want ROI don’t chase the next model.
They ask: “Is our architecture designed for results that last?”

Hype burns budgets.
Architecture builds results.

What’s your ROI framework for AI?